Triple
T8279852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleazar |
E193643
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lázaro |
E340282
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lázaro | Statement: [Eleazar, hasVariant, Lázaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lázaro Context triple: [Eleazar, hasVariant, Lázaro]
-
A.
Lázaro
chosen
Lázaro is the baptismal name of You Heung-sik, a South Korean cardinal of the Catholic Church and Prefect of the Dicastery for the Clergy.
-
B.
Lázaro de Tormes
Lázaro de Tormes is the fictional protagonist and autobiographical narrator of the anonymous 16th-century Spanish picaresque novel "Lazarillo de Tormes," known for recounting his life of poverty and cunning survival.
-
C.
Julián
Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
-
D.
Indalecio
Indalecio is a masculine given name of Spanish origin, notably borne by the Spanish socialist politician Indalecio Prieto.
-
E.
Lazar
Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ece5708190a1569bcfad5b3644 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd686d9be081908b0490e708f51ad7 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:51 p.m.